TY - GEN
T1 - Gaussian noise and the intersection problem in Human-Robot Systems - Analytical and fuzzy approach
AU - Palm, Rainer
AU - Lilienthal, Achim
N1 - Publisher Copyright:
© 2019 IEEE.
PY - 2019/6
Y1 - 2019/6
N2 - In this paper the intersection problem in human-robot systems with respect to noisy information is discussed. The interaction between humans and mobile robots in shared areas requires a high level of safety especially at the intersections of trajectories. We discuss the intersection problem with respect to noisy information on the basis of an analytic geometrical model and its TS fuzzy version. The transmission of a 2-dimensional Gaussian noise signal, in particular information on human and robot orientations, through a non-linear static system and its fuzzy version, will be described. We discuss the problem: Given the parameters of the input distributions, find the parameters of the output distributions.
AB - In this paper the intersection problem in human-robot systems with respect to noisy information is discussed. The interaction between humans and mobile robots in shared areas requires a high level of safety especially at the intersections of trajectories. We discuss the intersection problem with respect to noisy information on the basis of an analytic geometrical model and its TS fuzzy version. The transmission of a 2-dimensional Gaussian noise signal, in particular information on human and robot orientations, through a non-linear static system and its fuzzy version, will be described. We discuss the problem: Given the parameters of the input distributions, find the parameters of the output distributions.
UR - http://www.scopus.com/inward/record.url?scp=85073804653&partnerID=8YFLogxK
U2 - 10.1109/FUZZ-IEEE.2019.8858796
DO - 10.1109/FUZZ-IEEE.2019.8858796
M3 - Conference contribution
AN - SCOPUS:85073804653
T3 - IEEE International Conference on Fuzzy Systems
BT - 2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2019 IEEE International Conference on Fuzzy Systems, FUZZ 2019
Y2 - 23 June 2019 through 26 June 2019
ER -